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20172022
most citedA Deep Multimodal Approach for Cold-start Music Recommendation

80 citations · 332 across the 29 of their papers we have counts for

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Showing cs.IRShow all

12 papers · 1 filter

cs.IR20206 cited

Multimodal Metric Learning for Tag-based Music Retrieval

Minz Won, Sergio Oramas, Oriol Nieto +2

Tag-based music retrieval is crucial to browse large-scale music libraries efficiently. Hence, automatic music tagging has been actively explored, mostly as a classification task,…

cs.IR202028 cited

Exploring Longitudinal Effects of Session-based Recommendations

Andres Ferraro, Dietmar Jannach, Xavier Serra

Session-based recommendation is a problem setting where the task of a recommender system is to make suitable item suggestions based only on a few observed user interactions in an o…

cs.IR20203 cited

Search Result Clustering in Collaborative Sound Collections

Xavier Favory, Frederic Font, Xavier Serra

The large size of nowadays' online multimedia databases makes retrieving their content a difficult and time-consuming task. Users of online sound collections typically submit searc…

cs.IR20198 cited

Artist and style exposure bias in collaborative filtering based music recommendations

Andres Ferraro, Dmitry Bogdanov, Xavier Serra +1

Algorithms have an increasing influence on the music that we consume and understanding their behavior is fundamental to make sure they give a fair exposure to all artists across di…

cs.IR2019

How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging

Andres Ferraro, Dmitry Bogdanov, Xavier Serra +2

Automatic tagging of music is an important research topic in Music Information Retrieval and audio analysis algorithms proposed for this task have achieved improvements with advanc…

cs.IR20191 cited

Skip prediction using boosting trees based on acoustic features of tracks in sessions

Andrés Ferraro, Dmitry Bogdanov, Xavier Serra

The Spotify Sequential Skip Prediction Challenge focuses on predicting if a track in a session will be skipped by the user or not. In this paper, we describe our approach to this p…